AgriPass
AgriPass’s RHIC, Robot of Human-Inspired Cultivation AI weeding machine, demonstrated in Central Valley, Calif.
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AgriPass
AgriPass’s RHIC, Robot of Human-Inspired Cultivation AI weeding machine, demonstrated in Central Valley, Calif.
Israel-based agriculture tech company AgriPass announced it has completed a $7.5M seed funding round to accelerate the commercial scale-up of its Robot of Human-Inspired Cultivation (RHIC) robotic weed control platform, and expand across the United States and Europe.
AgriPass said that RHIC combines advanced computer vision with real-time contextual AI to guide selective mechanical actuation, targeting weeds at the root level while minimizing soil disruption and eliminating chemical dependency.
AgriPass said that the funding round was led by Harbor Venture Consulting, with support from existing investors includingE44 Climate Ventures and strategic ecosystem partners. The company said that funding will support manufacturing readiness, expansion of commercial field operations and continued development of the AI-driven cultivation platform across additional crops and use cases.
Established in 2023, AgriPass said it has active commercial deployments in both the EU and the U.S., with contracted and advanced-stage engagements contributing to projected 2026 revenue.
The company said that its platform empowers farmers, particularly small and mid-sized operations, in the transition to sustainable and regenerative agriculture through adaptive, selective, non-chemical weed control that works at a commercial scale. It is initially focused on high-value vegetable crops, where labor shortages, weed pressure and soil health constraints most directly impact productivity and farm economics.
“Labor volatility, regulatory pressure, and soil degradation are redefining farm operations. Food security now depends on building more resilient production systems and agriculture is undergoing a structural transformation to meet these challenges,” said Liron Yanay, CEO of AgriPass. “We built RHIC to replicate human agronomic judgment in real time, guiding soil-safe, selective mechanical action at commercial scale. This funding enables us to expand across the U.S. and Europe and scale our durable cultivation platform designed for long-term performance.”
AgriPass collaborates with partners across the ag-robotics and food-system ecosystem, including FYELD Agriculture OEM, EIT Food and the NVIDIA Inception Program, supporting both technology development and field deployment. The company was named a winner of the 2025 Climate Solutions Prize, and Yanay was recognized as a leading Woman in AgFood 2025.
In conjunction with its funding news, AgriPass and FYELD Group announced a strategic technological partnership.
Through this partnership, FYELD said it will integrate AgriPass’ human-inspired AI across its machinery portfolio, enhancing equipment with real-time, adaptive control that replicates the contextual decision-making of experienced field operators.
“The strategic partnership with AgriPass is consistent with our goal of maintaining a high level of innovation and expertise within the FYELD group, particularly in advanced optical systems based on optical vision and image processing systems, which drastically improve the performance of our machines," said Livio Marchiori, chairman of FYELD Group.
FYELD said that the core of the collaboration is AgriPass’ AST (Adaptive Sensing Technology), which combines advanced optical vision and AI-driven image processing to interpret crop position, weed pressure and soil variability within an agronomic context, directing precise mechanical action as conditions change.
Initially deployed on AgriPass’ RHIC autonomous mechanical weeding system in commercial field operations, FYELD said that this proven intelligence will now be extended through the collaboration with FYELD, enabling intelligent automation across multiple stages of the farming cycle.
“Field decisions have traditionally depended on skilled operators who understand crops and soil,” Yanay added. “With growing labor constraints and increasing variability in field conditions, equipment must take on a greater role in real-time decision-making. Together with FYELD, we are enabling machinery to interpret agronomic conditions as they evolve and translate that understanding into consistent field action, supporting growers with greater operational stability.”
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